N
2 months ago
Job Summary
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking system performance analysis engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. As part of the Silicon Solutions Team, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 5 years
Job Description/Requirements
What You Will Be Doing:
- Perform large-scale benchmarks for competitive analysis and comparative analysis.
- Design tools to automate product definitions, data collection, test case execution, and results analysis. Provide detailed data analysis of functionality, performance, and latency.
- Develop methodologies to optimize HW/SW performance and power management to maximize Perf/WATTand user-experience on AC and on DC power. Feedback improvement areas to the different architecture and design teams teams.
- Research new architectural features for next generation GPU, CPU and SOC to optimize performance and power features development, and transcend product goals.
- Tackle multi-variable problems via system level modeling, testing and characterization, trend analysis/projection, and model verification. Brings depth and expertise in product performance-per-watt feature development.
What we need to see:
- MS in EE, CE, CS, Systems Engineering, or equivalent experience.Â
- Over 5 years of experience in a related hardware engineering position focuses on Performance and Power analysis and optimization.Â
- Understands system-level thermal, power, frequency, and/or voltage limited workload behavior, and the impact of hardware design trade-offs on the limiters.
- Knowledgeable in MOSFETs, digital design, scripting, signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, filters.
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